adversarial-prompts

Curated archive of jailbreak and prompt-injection experiments for AI model robustness research, red-teaming, and defensive evaluation.

Enterprise LLM prompt security & red-teaming framework — automated jailbreak detection, prompt injection testing, policy enforcement, and comprehensive audit trails for production AI systems.

A structured NLP dataset for detecting prompt injection attacks, jailbreak attempts, and malicious instruction manipulation in Large Language Models (LLMs). Includes annotated threat categories, risk classifications, and validation-ready samples for AI safety training, security evaluation, and adversarial robustness research.

x402 settlement facilitator + EAS-compatible threat-intel attestation issuer on Base mainnet

Systematic red-teaming framework for adversarial prompt evaluation — jailbreak detection, injection classification, attack surface coverage metrics

PromptForge: LLM Red Teaming Toolkit is a lightweight toolkit for testing and hardening LLM applications.